jet
dsq
jet | dsq | |
---|---|---|
10 | 20 | |
654 | 3,638 | |
- | 1.9% | |
5.6 | 4.3 | |
about 2 months ago | 7 months ago | |
Clojure | Go | |
Eclipse Public License 1.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jet
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jq 1.7 Released
I really like jq, but I think there is at least one nice alternative to it: jet [1].
It is also a single executable, written in clojure and fast. Among other niceties, you don't have to learn any DSL in this case -- at least not if you already know clojure!
[1] https://github.com/borkdude/jet
- Jet: Jq for Clojure
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Jq Internals: Backtracking
Since starting to use jet, I haven't found anything jq could do that jet couldn't also do but with the additional feature of actually being able to read what I've done with it days later.
https://github.com/borkdude/jet
- Jet – jq-like utility for JSON, EDN and Transit for transformation and querying
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GraalVM 22.1: Developer experience improvements, Apple Silicon builds, and more
Examples of Clojure projects that compile to native:
- babashka (https://github.com/babashka/babashka)
- clj-kondo (https://github.com/clj-kondo/clj-kondo)
- jet (https://github.com/borkdude/jet)
SCI is a Clojure interpreter that allows you to evaluate Clojure code even inside of the final native binary and is used in all of the above projects.
Feel free to bug me with questions in the graalvm channel on Clojurians Slack.
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Zq: An Easier (and Faster) Alternative to Jq
For me, transforming JSON on the command line was a pain, another DSL to learn. Now, I can just use Babashka/ Clojure + one or two functions from Cheshire https://github.com/dakrone/cheshire where I need to. If I needed a standalone tool, I would perhaps reach for https://github.com/borkdude/jet by the same author, Michiel Borkent, as Babashka or use jq that everybody else would find more familiar.
- GitHub - borkdude/jet: CLI to transform between JSON, EDN and Transit, powered with a minimal query language.
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Clojure & utils now in solus.
alias updatePackage='/usr/share/ypkg/yupdate.py' updatePackage 1.10.3.1058 https://download.clojure.org/install/clojure-tools-1.10.3.1058.tar.gz updatePackage 0.1.0 https://github.com/borkdude/jet/releases/download/v0.1.0/jet-0.1.0-linux-amd64.zip
- Tips on Adding JSON Output to Your CLI App
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Extracting Objects Recursively with Jq
jq is nice, but the moment i need anything more complex than "pull this attribute out of bunch of objects" i vastly prefer spinning up an actual language runtime. or use a tool built around a language (e.g. https://github.com/borkdude/jet) rather than a language built around a tool.
dsq
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Tracking SQLite Database Changes in Git
You might want to look at tsv-utils, or a similar project: https://github.com/eBay/tsv-utils
For the SQL part, but maybe a lot heavier, you can use one of the projects listed on this page: https://github.com/multiprocessio/dsq (No longer maintained, but has links to lots of other projects)
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DuckDB: Querying JSON files as if they were tables
Welcome to the gang! :)
https://github.com/multiprocessio/dsq#comparisons
- Ask HN: Programs that saved you 100 hours? (2022 edition)
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Command-line data analytics made easy
SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions!
As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2].
DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats.
dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath of SQLite, it also supports many data formats, but is slower at the same time.
OctoSQL is faster, extensible through plugins, and supports incremental query execution, so you can i.e. calculate a running group by + count while tailing a log file. It also supports normal databases, not just file formats, so you can i.e. join with a Postgres table.
[0]: https://github.com/apache/arrow-datafusion
[1]: https://github.com/multiprocessio/dsq
[2]: https://github.com/cube2222/octosql
Disclaimer: Author of OctoSQL
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Jq Internals: Backtracking
> dsq registers go-sqlite3-stdlib so you get access to numerous statistics, url, math, string, and regexp functions that aren't part of the SQLite base. (https://github.com/multiprocessio/dsq#standard-library)
Ah, I wondered if they rolled their own SQL parser, but no, I now see the sqlite.go in the repo and all is made clear
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Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
I am currently evaluating dsq and its partner desktop app DataStation. AIUI, the developer of DataStation realised that it would be useful to extract the underlying pieces into a standalone CLI, so they both support the same range of sources.
dsq CLI - https://github.com/multiprocessio/dsq
- multiprocessio / dsq :
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OctoSQL allows you to join data from different sources using SQL
OctoSQL is an awesome project and Kuba has a lot of great experience to share from building this project I'm excited to learn from.
And while building a custom database engine does allow you to do pretty quick queries, there are a few issues.
First, the SQL implemented is nonstandard. As I was looking for documentation and it pointed me to `SELECT * FROM docs.functions fs`. I tried to count the number of functions but octosql crashed (a Go panic) when I ran `SELECT count(1) FROM docs.functions fs` and `SELECT count() FROM docs.functions fs` which is what I lazily do in standard SQL databases. (`SELECT count(fs.name) FROM docs.function fs` worked.)
This kind of thing will keep happening because this project just doesn't have as much resources today as SQLite, Postgres, DuckDB, etc. It will support a limited subset of SQL.
Second, the standard library seems pretty small. When I counted the builtin functions there were only 29. Now this is an easy thing to rectify over time but just noting about the state today.
And third this project only has builtin support for querying CSV and JSON files. Again this could be easy to rectify over time but just mentioning the state today.
octosql is a great project but there are also different ways to do the same thing.
I build dsq [0] which runs all queries through SQLite so it avoids point 1. It has access to SQLite's standard builtin functions plus* a battery of extra statistic aggregation, string manipulation, url manipulation, date manipulation, hashing, and math functions custom built to help this kind of interactive querying developers commonly do [1].
And dsq supports not just CSV and JSON but parquet, excel, ODS, ORC, YAML, TSV, and Apache and nginx logs.
A downside to dsq is that it is slower for large files (say over 10GB) when you only want a few columns whereas octosql does better in some of those cases. I'm hoping to improve this over time by adding a SQL filtering frontend to dsq but in all cases dsq will ultimately use SQLite as the query engine.
You can find more info about similar projects in octosql's Benchmark section but I also have a comparison section in dsq [2] and an extension of the octosql benchmark with different set of tools [3] including duckdb.
Everyone should check out duckdb. :)
[0] https://github.com/multiprocessio/dsq
[1] https://github.com/multiprocessio/go-sqlite3-stdlib
[2] https://github.com/multiprocessio/dsq#comparisons
[3] https://github.com/multiprocessio/dsq#benchmark
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GitHub Actions are down again
What's annoying about this is that the PR doesn't even say it's trying to run tests. It says everything is passing and just doesn't list the actions.
For a second I thought someone must have deleted the actions yaml files.
This is a dangerous failure mode.
https://github.com/multiprocessio/dsq/pull/82
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Xlite: Query Excel, Open Document spreadsheets (.ods) as SQLite virtual tables
This is a cool project! But if you query Excel and ODS files with dsq you get the same thing plus a growing standard library of functions that don't come built into SQLite such as best-effort date parsing, URL parsing/extraction, statistical aggregation functions, math functions, string and regex helpers, hashing functions and so on [1].
[0] https://github.com/multiprocessio/dsq
[1] https://github.com/multiprocessio/go-sqlite3-stdlib
What are some alternatives?
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
go-duckdb - go-duckdb provides a database/sql driver for the DuckDB database engine.
gojq - Pure Go implementation of jq
q - q - Run SQL directly on delimited files and multi-file sqlite databases
clojure-lsp - Clojure & ClojureScript Language Server (LSP) implementation
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
jp - Command line interface to JMESPath - http://jmespath.org
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
fzf - :cherry_blossom: A command-line fuzzy finder
xlite - Query Excel spredsheets (.xlsx, .xls, .ods) using SQLite
simplelanguage - A simple example language built using the Truffle API.
textql - Execute SQL against structured text like CSV or TSV